# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import pytest
from transformers import AutoTokenizer

from sparseml.transformers.finetune.model_args import ModelArguments


@pytest.fixture
def tiny_llama_path():
    return "Xenova/llama2.c-stories15M"


@pytest.fixture
def tiny_llama_model_args(tiny_llama_path):
    return ModelArguments(model=tiny_llama_path)


@pytest.fixture
def tiny_llama_tokenizer(tiny_llama_model_args):
    tokenizer = AutoTokenizer.from_pretrained(
        tiny_llama_model_args.model,
        cache_dir=tiny_llama_model_args.cache_dir,
        use_fast=True,
        revision=tiny_llama_model_args.model_revision,
        use_auth_token=True if tiny_llama_model_args.use_auth_token else None,
    )
    return tokenizer
